Senior Data Scientist, Borrowell

• 5+ years of experience delivering data science and machine learning solutions with demonstrated ownership of high-impact production models from problem definition through production and iteration
• Hands-on experience designing, building, and iterating on ranking, recommendation, or personalization models used in a production environment (e.g., offer ranking, next-best-action, feed ranking, eligibility routing)
• Strong proficiency in Python for data analysis, feature engineering, and modeling
• Advanced SQL skills, including complex joins and analytical queries across large datasets
• Deep experience with supervised learning, including handling class imbalance and model calibration
• Strong background in experimentation and A/B testing, including metric design, offline/online evaluation and interpretation
• Excellent communication skills — able to clearly explain complex models, trade-offs, and impact to technical and non-technical audiences
• Comfortable owning ambiguous problems end-to-end and driving alignment across stakeholders in fast-moving environments
• We are remote-first across Canada with an office in Toronto. This role requires you to attend in-person meetings and team-building events weekly
• At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position we’d still encourage you to apply
• We’re looking for candidates who have experience but know that not everyone’s had a chance to demonstrate what they can do
• What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress

Desirable

• As a Senior Data Scientist, you will be instrumental in shaping Borrowell's core machine learning capabilities and guiding product direction with data-driven insights
• You will collaborate with Product, Business, Data, and Engineering leaders to design, build, and scale ML systems that personalize member experiences, drive our recommendation and ranking engines, and directly improve marketplace conversion and approval outcomes
• This is a hands-on, product-facing role with complete end-to-end ownership—from problem framing and model design to experimentation, measurement, and iteration in production
• The role requires operating as a technical leader, setting modeling direction and elevating data science rigor across the organization
• During your first year, you can expect to:
• Own and lead high-impact ML initiatives, including technical and product trade-off decisions—designing and delivering product ranking, intent prediction, and approval likelihood models that significantly boost business KPIs
• Translate strategy into models – Work with Product and Business stakeholders to convert complex business goals into well-defined ML problems, success metrics, and experimentation plans
• Build, evaluate, and iterate on production models – Develop robust features, train and calibrate models, and continuously improve performance through rigorous evaluation and A/B testing
• Drive measurable business outcomes – Connect model performance to conversion, approval rates, revenue, and member engagement, and clearly communicate impact to stakeholders
• Set and formalize best practices for experimentation and modeling, elevating the standards for model evaluation, calibration, drift analysis, and offline/online alignment

• Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment